Evidence-Based Complementary and Alternative Medicine

Conference Issue: Biomedical Informatics Research for Integrative Medicine


Publishing date
01 Sep 2022
Status
Closed
Submission deadline
22 Apr 2022

Lead Editor

1York University, Toronto, Canada

2Ulster University, Belfast, UK

3Shanghai Taikuntang Traditional Chinese Medicine Hospital, Shanghai, China

4Drexel University, Philadelphia, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Conference Issue: Biomedical Informatics Research for Integrative Medicine

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Integrative medicine (IM) is a new branch in the healthcare systems of many countries across the world. Integrative medicine combines conventional western medicine with a medical model that emphasizes body, mind, social function, and evidence-based medicine.

Global biomedical research is entering a new era, characterized by big data and artificial intelligence (AI), and biomedical informatics is a crucial area of research in IM. This focuses on the combination of observational and empirical research with new technologies featuring mathematics, rational derivation, and applications of artificial intelligence, such as big data and machine learning. This new domain provides an ideal solution for simulation studies and for the full utilization of the available big data accumulated over recent decades.

This Special Issue aims to provide a cross-disciplinary forum for innovative biomedical research that provides high-quality evidence for the promotion of integrative medicine. Its scope covers original studies on bioinformatics, medical informatics, clinical decision making, and medical informatics technology with a rigorous scientific basis. It also serves as a cutting-edge forum to bring together scientists from interdisciplinary backgrounds such as computer science, biology, artificial intelligence, big data, medical science, mathematics, and biostatistics. We especially welcome submissions relating to state-of-the-art computational methods using artificial intelligence (AI), machine learning, and statistical models that can effectively improve the quality of evidence for IM in a big data context. We welcome both original research and review articles.

This Conference Issue is being run in partnership with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), held as an online event from the 9th to 12th December (https://www.ieeebibm.org/BIBM2021/). Whilst submissions are invited from all researchers, we particularly welcome full-length articles from both attendees and those that have submitted abstracts and posters for consideration at this conference.

Potential topics include but are not limited to the following:

  • Pathway analysis of herbal medicine components and acupuncture
  • Biological network analysis on herbal medicine components and acupuncture
  • Integrative medicine interventions in gene expression and regulation
  • Big data analytics for real-world integrative medicine
  • Information retrieval, ontologies, natural language processing, and text mining for integrative medicine
  • Computational modeling and data integration for conventional medicine and integrative medicine
  • Machine learning and artificial intelligence for conventional medicine and integrative medicine
  • Application of big data analysis for conventional medicine and integrative medicine
  • Biomedical image analysis
  • Health information and decision support systems for conventional medicine and integrative medicine

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7252213
  • - Research Article

Combined Acupoints for the Treatment of Patients with Obesity: An Association Rule Analysis

Ping-Hsun Lu | Yu-Yang Chen | ... | Chan-Yen Kuo
  • Special Issue
  • - Volume 2022
  • - Article ID 2454678
  • - Research Article

A Study of Logistic Regression for Fatigue Classification Based on Data of Tongue and Pulse

Yu Lin Shi | Tao Jiang | ... | Jia Tuo Xu
  • Special Issue
  • - Volume 2022
  • - Article ID 5841451
  • - Research Article

An Algorithm for Automatic Rib Fracture Recognition Combined with nnU-Net and DenseNet

Junzhong Zhang | Zhiwei Li | ... | Dejian Wei
  • Special Issue
  • - Volume 2022
  • - Article ID 5157870
  • - Research Article

Assessment of Reporting Quality in Randomized Controlled Trials of Acupuncture for Primary Insomnia with CONSORT Statement and STRICTA Guidelines

Jinsong Yang | Fanjun Yu | ... | Yu Kui
  • Special Issue
  • - Volume 2022
  • - Article ID 3306420
  • - Research Article

Herbal Medicine Prescriptions for Functional Dyspepsia: A Nationwide Population-Based Study in Korea

Boram Lee | Eun Kyoung Ahn | Changsop Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 3793946
  • - Research Article

RNA Sequencing Analysis of Gene Expression by Electroacupuncture in Guinea Pig Gallstone Models

Mingyao Hao | Zhiqiang Dou | ... | Zhaofeng Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5088129
  • - Review Article

Research Status Quo in Traditional Mongolian Medicine: A Bibliometric Analysis on Research Documents in the Web of Science Database

Tae-Hun Kim | Jung Won Kang
  • Special Issue
  • - Volume 2021
  • - Article ID 8628182
  • - Research Article

Meta-Analysis of Elderly Lower Body Strength: Different Effects of Tai Chi Exercise on the Knee Joint-Related Muscle Groups

Yuan Yang | Jia-hui Li | ... | Jun Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 2903543
  • - Research Article

Predictive Biomarkers for Postmyocardial Infarction Heart Failure Using Machine Learning: A Secondary Analysis of a Cohort Study

Feng Li | Jin-Yu Sun | ... | Ru-Xing Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 9639131
  • - Research Article

Electroacupuncture Reverses CUMS-Induced Depression-Like Behaviors and LTP Impairment in Hippocampus by Downregulating NR2B and CaMK II Expression

Shuo Jiang | Zui Shen | Wenlin Xu
Evidence-Based Complementary and Alternative Medicine
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.